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AIMarkTechPost · 21d ago

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

A 2.52 billion parameter language model called MiniCPM5-2B was released with a 131,072 token context window and scores averaging 53.9 across 34 benchmarks. The model uses 400 billion tokens of deep-thinking training paired with reinforcement learning from 16 merged expert models and runs on standard architectures like llama.cpp and Ollama without requiring custom code.

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